Triple
T15419376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reese Feldman |
E369332
|
entity |
| Predicate | hasAssociate |
P2830
|
FINISHED |
| Object |
Kevin Jutsum
Kevin Jutsum is an associate of Reese Feldman, a character from the action-comedy film "Starsky & Hutch."
|
E1156820
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kevin Jutsum | Statement: [Reese Feldman, hasAssociate, Kevin Jutsum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Jutsum Context triple: [Reese Feldman, hasAssociate, Kevin Jutsum]
-
A.
Kevin Killen
Kevin Killen is a renowned recording and mixing engineer best known for his work with artists such as U2, Peter Gabriel, and Kate Bush.
-
B.
Kyle Killen
Kyle Killen is an American screenwriter and television creator known for his emotionally driven, high-concept dramas such as the film "The Beaver" and the TV series "Awake."
-
C.
Jack Tornek
Jack Tornek was a character actor known for small roles in early 20th-century American films, including the 1950s horror movie "Hellgate."
-
D.
Tuck Hansen
Tuck Hansen is one of the two rival CIA agents who compete for the same woman in the romantic action-comedy film "This Means War."
-
E.
Kurt Dussander
Kurt Dussander is a former Nazi war criminal living under an assumed identity who becomes the sinister focus of Stephen King’s novella "Apt Pupil."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kevin Jutsum Triple: [Reese Feldman, hasAssociate, Kevin Jutsum]
Generated description
Kevin Jutsum is an associate of Reese Feldman, a character from the action-comedy film "Starsky & Hutch."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kevin Jutsum Target entity description: Kevin Jutsum is an associate of Reese Feldman, a character from the action-comedy film "Starsky & Hutch."
-
A.
Kevin Killen
Kevin Killen is a renowned recording and mixing engineer best known for his work with artists such as U2, Peter Gabriel, and Kate Bush.
-
B.
Kyle Killen
Kyle Killen is an American screenwriter and television creator known for his emotionally driven, high-concept dramas such as the film "The Beaver" and the TV series "Awake."
-
C.
Jack Tornek
Jack Tornek was a character actor known for small roles in early 20th-century American films, including the 1950s horror movie "Hellgate."
-
D.
Tuck Hansen
Tuck Hansen is one of the two rival CIA agents who compete for the same woman in the romantic action-comedy film "This Means War."
-
E.
Kurt Dussander
Kurt Dussander is a former Nazi war criminal living under an assumed identity who becomes the sinister focus of Stephen King’s novella "Apt Pupil."
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ebce4f48190ba282ecb4fb2f6fa |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a7adb848190836fb972bc8744f1 |
completed | May 9, 2026, 11:28 a.m. |
| NEDg | Description generation | batch_69ff1bc3aa2c8190b61d21fa78682ea1 |
completed | May 9, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1cbccab48190b9e19b5a09324d8c |
completed | May 9, 2026, 11:38 a.m. |
Created at: April 10, 2026, 3:20 a.m.